Avalanche in Pakistan Kills 139

Adapted from Fox.com:

ISLAMABAD – An avalanche that buried more than 120 soldiers in a
Himalayan region close to India has put a spotlight on what critics say
is one of world's most pointless military deployments: two
poverty-wracked nations engaged in a costly standoff over an
uninhabitable patch of mountain and ice.

Since Saturday morning when the massive wall of snow engulfed a
Pakistani military complex close to the Siachen Glacier, rescue teams
have been unable to dig up any survivors. There is now very little hope
that even a small number of people will come out alive.

A team of U.S. military experts was expected to arrive at the site
Monday to assist in the rescue efforts, according to an American
official. The team flew in from Afghanistan after the Pakistani army
asked for help, the official said on condition of anonymity because he
was not authorized to brief the media.

The missing soldiers are part of the Pakistani military deployment to
the Siachen Glacier, which forms the northern part of Kashmir region,
disputed between Islamabad and India and the main source of tension
between the nuclear-armed rivals who have fought three wars since 1947.

The conflict over Siachen began in 1984 when India occupied the heights
of the 49-mile long glacier, fearing Pakistan wanted to claim the
territory. Islamabad also deployed its troops. A 2003 cease-fire largely
ended skirmishes on the glacier, where troops have been deployed as high
as 20,000 feet, but both armies remained camped out there.
Neither side releases information on troop numbers in the region, but
they are believed to be in the hundreds or low thousands.

Of all the problems plaguing the two countries, Siachen is often
described as one of the easiest to solve but it is hostage to general
mistrust and hard-liners on both sides who don't want to give up their
claim on territory, however strategically insignificant.

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10:00 UTC). The result is 21765.623 on 21600 df, for p = 0.212 and Z =
0.798.

It is important to keep in mind that we have only a tiny
statistical effect, so that it is always hard to distinguish
signal from noise. This means that every "success" might be
largely driven by chance, and every "null" might include a real
signal overwhelmed by noise. In the long run, a real effect can
be identified only by patiently accumulating replications of
similar analyses.